Restaurant Reviews Mining Based on Semantic Polarity Analysis
Hongfei Lin · Jisuanji gongcheng · 2008
This paper presents a method for restaurant reviews mining based on semantic polarity analysis.It regards the taste,environment,service and price as the restaurant features.The user reviews are tagged with features sentence by sentence,and the complicated sentences with multi-features are divided into several simple feature sentences.It analyses the sentences' semantic polarity and its intensity.As a result,the user can find out others' opinions on certain restaurant about its certain feature conveniently.It provides useful guidance for the user.